Evolving Time Series Forecasting Neural Network Models

In the last decade, bio-inspired methods have gained an increasing acceptation as alternative approaches for Time Series Forecasting. Indeed, the use of tools such as Artificial Neural Networks (ANNs) and Genetic and Evolutionary Algorithms (GEAs), introduced important features to forecasting models...

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Bibliographic Details
Main Author: Cortez, Paulo (author)
Other Authors: Rocha, Miguel (author), Neves, José (author)
Format: conferencePaper
Language:eng
Published: 2001
Subjects:
Online Access:http://hdl.handle.net/1822/119
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/119